Med Biol Eng Comput - Off-line determination of the optimal number of iterations of the robust anisotropic diffusion filter applied to denoising of brain MR images.

Tópicos

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Resumo

Although anisotropic diffusion filters have been used extensively and with great success in medical image denoising, one limitation of this iterative approach, when used on fully automatic medical image processing schemes, is that the quality of the resulting denoised image is highly dependent on the number of iterations of the algorithm. Using many iterations may excessively blur the edges of the anatomical structures, while a few may not be enough to remove the undesirable noise. In this work, a mathematical model is proposed to automatically determine the number of iterations of the robust anisotropic diffusion filter applied to the problem of denoising three common human brain magnetic resonance (MR) images (T1-weighted, T2-weighted and proton density). The model is determined off-line by means of the maximization of the mean structural similarity index, which is used in this work as metric for quantitative assessment of the resulting processed images obtained after each iteration of the algorithm. After determining the model parameters, the optimal number of iterations of the algorithm is easily determined without requiring any extra computation time. The proposed method was tested on 3D synthetic and clinical human brain MR images and the results of qualitative and quantitative evaluation have shown its effectiveness.

Resumo Limpo

although anisotrop diffus filter use extens great success medic imag denois one limit iter approach use fulli automat medic imag process scheme qualiti result denois imag high depend number iter algorithm use mani iter may excess blur edg anatom structur may enough remov undesir nois work mathemat model propos automat determin number iter robust anisotrop diffus filter appli problem denois three common human brain magnet reson mr imag tweight tweight proton densiti model determin offlin mean maxim mean structur similar index use work metric quantit assess result process imag obtain iter algorithm determin model paramet optim number iter algorithm easili determin without requir extra comput time propos method test d synthet clinic human brain mr imag result qualit quantit evalu shown effect

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